Senior Scientist Applied Machine Learning
Tasks
- Build machine learning models
- Collaborate with computational scientists
- Collaborate with experimental scientists
- Communicate scientific insights
- Develop multimodal learning representations
- Develop scalable reproducible ML pipelines
- Evaluate and validate models
- Train deep learning architectures
- Train foundation models
- Work with transcriptomics genomics imaging datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud platform | Deep learning | Docker | Foundation Models | Generative Models | Git | Google Cloud | Google Cloud Platform | Graph Neural Networks | HPC | Hugging Face | Hugging Face Transformers | Machine Learning | Multimodal Learning | Neural Networks | PyTorch | PyTorch Lightning | Python | Reproducible Research | Self-Supervised Learning | Self-supervised | Slurm | Supervised Learning | Transformers | Variational Autoencoders | Vision Transformers | Weights and Biases
Education
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